Applications of Big Data
Now a day’s people generate massive amount of data and Big companies utilize those data for their business growth. By analyzing this data, the useful decision can be made in various cases as discussed below. There are many use cases of big data some of them given blow.
1. Tracking Customer Spending Habit:
Shopping Behavior: In big retails store (like Amazon, Walmart, Big Bazar etc.)
management team has to keep data of customer’s spending habit (in which product
customer spent, in which brand they wish to spent, how frequently they spent),
shopping behavior, customer’s most liked product (so that they can keep those
products in the store). Which product is being searched/sold most, based on
that data, production/collection rate of that product get fixed.
Banking sector uses their customer’s
spending behavior-related data so that they can provide the offer to a
particular customer to buy his particular liked product by using bank’s credit
or debit card with discount or cashback. By this way, they can send the right
offer to the right person at the right time.
2. Recommendation: By tracking
customer spending habit, shopping behavior, Big retails store provide a
recommendation to the customer. E-commerce site like Amazon, Walmart, Flipkart
does product recommendation. They track what product a customer is searching,
based on that data they recommend that type of product to that customer.
As an example, suppose any customer
searched bed cover on Amazon. So, Amazon got data that customer may be
interested to buy bed cover. Next time when that customer will go to any google
page, advertisement of various bed covers will be seen. Thus, advertisement of
the right product to the right customer can be sent.
YouTube also shows recommend video based
on user’s previous liked, watched video type. Based on the content of a video,
the user is watching, relevant advertisement is shown during video running. As
an example suppose someone watching a tutorial video of Big data, then
advertisement of some other big data course will be shown during that video.
3. Smart Traffic System: Data about
the condition of the traffic of different road, collected through camera kept
beside the road, at entry and exit point of the city, GPS device placed in the
vehicle (Ola, Uber cab, etc.). All such data are analyzed and jam-free or less
jam way, less time taking ways are recommended. Such a way smart traffic system
can be built in the city by Big data analysis. One more profit is fuel
consumption can be reduced.
4. Secure Air Traffic System: At
various places of flight (like propeller etc.) sensors present. These sensors
capture data like the speed of flight, moisture, temperature, other
environmental condition. Based on such data analysis, an environmental
parameter within flight are set up and varied.
By analyzing flight’s machine-generated
data, it can be estimated how long the machine can operate flawlessly when it
to be replaced/repaired.
5. Auto Driving Car: Big data
analysis helps drive a car without human interpretation. In the various spot of
car camera, a sensor placed, that gather data like the size of the surrounding
car, obstacle, distance from those, etc. These data are being analyzed, then
various calculation like how many angles to rotate, what should be speed, when
to stop, etc. carried out. These calculations help to take action
automatically.
6. Virtual Personal Assistant Tool: Big
data analysis helps virtual personal assistant tool (like Siri in Apple Device,
Cortana in Windows, Google Assistant in Android) to provide the answer of the
various question asked by users. This tool tracks the location of the user,
their local time, season, other data related to question asked, etc. Analyzing
all such data, it provides an answer.
As an example, suppose one user asks, “Do I
need to take Umbrella?”, the tool collects data like location of the user,
season and weather condition at that location, then analyze these data to
conclude if there is a chance of raining, then provide the answer.
7. IoT:
Manufacturing company install IOT sensor
into machines to collect operational data. Analyzing such data, it can be
predicted how long machine will work without any problem when it requires
repairing so that company can take action before the situation when machine
facing a lot of issues or gets totally down. Thus, the cost to replace the
whole machine can be saved.
In the Healthcare field, Big data is
providing a significant contribution. Using big data tool, data regarding
patient experience is collected and is used by doctors to give better
treatment. IoT device can sense a symptom of probable coming disease in the
human body and prevent it from giving advance treatment. IoT Sensor placed
near-patient, new-born baby constantly keeps track of various health condition
like heart bit rate, blood presser, etc. Whenever any parameter crosses the
safe limit, an alarm sent to a doctor, so that they can take step remotely very
soon.
8. Education Sector: Online educational
course conducting organization utilize big data to search candidate, interested
in that course. If someone searches for YouTube tutorial video on a subject,
then online or offline course provider organization on that subject send ad
online to that person about their course.
9. Energy Sector: Smart electric
meter read consumed power every 15 minutes and sends this read data to the
server, where data analyzed and it can be estimated what is the time in a day
when the power load is less throughout the city. By this system manufacturing
unit or housekeeper are suggested the time when they should drive their heavy
machine in the night time when power load less to enjoy less electricity bill.
10. Media and Entertainment Sector:
Media and entertainment service providing company like Netflix, Amazon Prime,
Spotify do analysis on data collected from their users. Data like what type of
video, music users are watching, listening most, how long users are spending on
site, etc. are collected and analyzed to set the next business strategy.
11. Travel and tourism are the
users of Big Data. It enables us to forecast travel
facilities requirements at multiple locations, improve business through dynamic
pricing, and many more.
12.
Travel and tourism are the users of Big Data.
It enables us to forecast travel facilities requirements at multiple locations,
improve business through dynamic pricing, and many more.
13 .
Healthcare Big data has
started making a massive difference in the healthcare sector, with the help of
predictive analytics, medical professionals, and health care personnel. It can
produce personalized healthcare and solo patients also.
14
. Telecommunications and the multimedia sector are the main users
of Big Data. There are zettabytes to
be generated every day and handling large-scale data that require big data
technologies.
15.
Government and military also used technology at high
rates. We see the figures that the government makes on the
record. In the military, a fighter plane requires to process petabytes of
data.
Government
agencies use Big Data and run many agencies, managing utilities, dealing with
traffic jams, and the effect of crime like hacking and online
fraud.
16.
Aadhar Card: The government has a record of 1.21
billion citizens. This vast data is analyzed and store to find things
like the number of youths in the country. Some schemes are built to target the
maximum population. Big data cannot store in a traditional database, so it
stores and analyze data by using the Big Data Analytics tools.
17
E-commerce
is also an application of Big data. It
maintains relationships with customers that is essential for the e-commerce
industry. E-commerce websites have many marketing ideas to retail merchandise
customers, manage transactions, and implement better strategies of innovative
ideas to improve businesses with Big data.
- Amazon: Amazon is a tremendous e-commerce website dealing
with lots of traffic daily. But, when there is a pre-announced sale on
Amazon, traffic increase rapidly that may crash the website. So, to handle
this type of traffic and data, it uses Big Data. Big Data help in
organizing and analyzing the data for far use.
18
Social Media: is the
largest data generator. The statistics have shown that around 500+ terabytes
of fresh data generated from social media daily, particularly on Facebook.
The data mainly contains videos, photos, message exchanges, etc.
A single activity on the social media site generates many stored data and gets
processed when required. The data stored is in terabytes (TB); it takes a lot
of time for processing. Big Data is a solution to the problem.
Real-world big data examples:
- Learning about consumer shopping habits
- Customized marketing
- Discovering new customer leads
- Fuel optimization devices for the industry of
transportation
- Prediction of user demand for ridesharing businesses
- Observing health conditions via data from wearables
- Live road mapping for independent vehicles
- Streamlined media streaming
- Predictive inventory ordering
- Customized health plans for cancer patients
- Real-time monitoring of data and cybersecurity
protocols
Almost every business utilizes big data for prospective planning
by foretelling how consumers will live and what they’ll buy. However, it is not
a crystal ball. Some kinds of data sets, like those that span decades, have
better predictive power as compared to a similar amount of data from only a
year. When it comes to predicting unexpected cultural shifts, like the surge of
smartphones, even the most sterling data has its shortcomings.
Very detailed information about Big Data Mr. Ashraf.
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